most citedPrivacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.LG2021★ 4 cited

Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network

Joon-Woo Lee, HyungChul Kang, Yongwoo Lee +8

Fully homomorphic encryption (FHE) is one of the prospective tools for privacypreserving machine learning (PPML), and several PPML models have been proposed based on various FHE sc…